Fault Diagnosis of Photovoltaic System Based on Chaos Synchronization
| Autor: | Jen Shiu, 許禎 |
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| Rok vydání: | 2013 |
| Druh dokumentu: | 學位論文 ; thesis |
| Popis: | 101 This study developed a solar photovoltaic system fault diagnostor. As the solar photovoltaic system consists of many equipment components, manual inspection will be very costly. This study proposes the solar photovoltaic system fault diagnosis based on chaotic signal synchronization. First, Matlab was used to simulate the fault conditions of solar photovoltaic system, and the maximum power point tracking (MPPT) was used to ensure the system stable power, and capture and record the system fault feature signals. The dynamic errors of various fault signals were extracted by chaotic signal synchronization, and the dynamic error data of various fault signals were recorded completely. In the solar photovoltaic system, the captured output voltage signal was used as the eigenvalue for fault recognition, and the extenics was used to create the joint domain and classical domain of various fault conditions according to the collected feature data. The matter-element model of extension engineering was constructed. Finally, the whole fault diagnosis system only needed to capture the voltage signal of the solar photovoltaic system, so as to know the exact fault condition effectively and rapidly. The proposed fault diagnostor can be implemented by embedded system, and be combined with Zigbee wireless network module in the future, thus reducing labor cost, and building a complete a portable renewable energy system fault diagnostor. |
| Databáze: | Networked Digital Library of Theses & Dissertations |
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